Tong John

I am a data scientist focused on predictive modeling, time-series forecasting, and deployable machine-learning solutions.

I have built and deployed models across domains: a car price prediction model with a 97.79% R-score and $6,487 RMSE, a Prophet-based Rossman store forecast trained on over one million records, and a loan approval model with an F1 of 0.82 and ROC-AUC of 0.75.

I routinely build end-to-end pipelines including data cleaning, feature engineering, model tuning and deployment using Streamlit and Docker, and I leverage tools such as Python, TensorFlow, scikit-learn, XGBoost, Prophet, LightGBM and Google Looker Studio to deliver production-ready results.

I am completing a Bachelors of Statistics at Makerere University and I seek opportunities where I can apply forecasting and predictive analytics to solve business problems while continuing to learn and deliver measurable impact.